Kyle G. Rodino

1.3k citations
40 papers · 658 indexed · h-index 16
Topics
Vector-borne infectious diseases (12 papers)SARS-CoV-2 and COVID-19 Research (6 papers)Mycobacterium research and diagnosis (6 papers)

In The Last Decade

Kyle G. Rodino

34 papers receiving 642 citations

Peers

Kyle G. Rodino
Comparison fields: 5 of 73
  • Infectious Diseases 267
  • Parasitology 192
  • Molecular Biology 151
  • Epidemiology 150
  • Public Health, Environmental and Occupational Health 123
Replace Barbara Graf with:
Barbara Graf Germany
Christine J. Hastey United States
Krystle L. Reagan United States
Christian M. Parobek United States
Alain Le Coustumier France
Albertine Léon France
Paula Ferreira Portugal
Cameron D. Ashbaugh United States
Hélène Yera France
Vassiliki Spyrou Greece
Kyle G. Rodino relative to Barbara Graf Germany Barbara Graf's profile →
Citations per field
00.5×3.2×
Barbara Graf · 1×
Citations per year

Countries citing papers authored by Kyle G. Rodino

Since Specialization
Citations

This map shows the geographic impact of Kyle G. Rodino's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kyle G. Rodino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyle G. Rodino more than expected).

Fields of papers citing papers by Kyle G. Rodino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyle G. Rodino. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kyle G. Rodino. The network helps show where Kyle G. Rodino may publish in the future.

Co-authorship network of co-authors of Kyle G. Rodino

This figure shows the co-authorship network connecting the top 25 collaborators of Kyle G. Rodino. A scholar is included among the top collaborators of Kyle G. Rodino based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kyle G. Rodino. Kyle G. Rodino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 5
4 10
5 15
6 9
7 29
8 1
9 3
10 3
11 34
12 1
13 11
14 16
15 11
16 41
17 24
18 54
19 54
20 26

About Kyle G. Rodino

Kyle G. Rodino is a scholar working on Parasitology, Microbiology and Infectious Diseases, having authored 40 papers that have together received 658 indexed citations. Recurring topics across this work include Vector-borne infectious diseases (12 papers), SARS-CoV-2 and COVID-19 Research (6 papers) and Mycobacterium research and diagnosis (6 papers). The work is most often cited by research in Parasitology (192 citations), Infectious Diseases (267 citations) and Applied Microbiology and Biotechnology (28 citations). Kyle G. Rodino has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Jason A. Carlyon, Bobbi S. Pritt, Melissa B. Miller, Elitza S. Theel, Lauren VieBrock, Steve Miller, Charles Y. Chiu, Patricia J. Simner, Haley E. Adcox and Andréa Beyer. Their work appears in journals such as Journal of Clinical Investigation, Nature Communications and Clinical Microbiology Reviews.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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